ReplicateDocument to textComing soon

datalab-to/marker

Name: datalab-to/marker
Brand: Replicate

datalab-to/marker is a document to text tool from Replicate that runs in the background and returns structured JSON. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: json
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`file` required	text	—	Input file. Must be one of: .pdf, .doc, .docx, .ppt, .pptx, .png, .jpg, .jpeg, .webp
`mode`	JSON	fast	Processing mode affecting speed and quality. 'fast': lowest latency, preserves most positional information. 'balanced': same as using use_llm. 'accurate': highest quality, slowest, preserves least positional information
`use_llm`	true or false	false	Use an LLM to significantly improve accuracy for tables, forms, inline math, and layout detection. This merges tables across pages, handles complex layouts, and extracts form values. Will increase processing time
`paginate`	true or false	false	Add page separators to the output. Each page will be separated by a horizontal rule containing the page number in the format: \n\n{PAGE_NUMBER}\n{48 dashes}\n\n
`force_ocr`	true or false	false	Force OCR on all pages even if text is extractable. By default, Marker automatically uses OCR only when needed (e.g., scanned PDFs). Enable this if you see garbled or incorrect text in the output
`max_pages`	number (whole) 1 to …	—	Maximum number of pages to process. Cannot be specified if page_range is set - these parameters are mutually exclusive
`page_range`	text	—	Page range to parse, comma separated like 0,5-10,20. Example: '0,2-4' will process pages 0, 2, 3, and 4. Cannot be specified if max_pages is set - these parameters are mutually exclusive
`skip_cache`	true or false	false	Bypass the server-side cache and force re-processing. By default, identical requests are cached to save time and cost. Enable this to get fresh results
`page_schema`	text	—	Structured extraction: Provide a JSON Schema to extract specific fields from your document. When provided, the model extracts only the fields you define and returns them in the 'extraction_schema_json' output field (as a JSON string containing your extracted data plus citation fields showing which parts of the document were used). The 'markdown' and 'json_data' fields will still contain the full document conversion. Example: {"type":"object","properties":{"invoice_number":{"type":"string"},"total":{"type":"number"}}}. See: https://documentation.datalab.to/docs/recipes/structured-extraction/api-overview. Increases cost by 50%
`format_lines`	true or false	false	Detect and format inline mathematical expressions and text styles (bold, italic, etc.) in the output. Useful for documents with mathematical notation
`save_checkpoint`	true or false	false	Save processing checkpoint for iterative refinement. Checkpoints can be used with the Marker Prompt API to apply custom rules without re-parsing the entire document. Only useful for advanced workflows
`disable_ocr_math`	true or false	false	Disable recognition of inline mathematical expressions during OCR. By default, math expressions are detected and can be formatted as LaTeX
`include_metadata`	true or false	false	Include detailed metadata and JSON structure in the output. When enabled, returns json_data (hierarchical document structure with bounding boxes) and metadata (page stats, table of contents). When disabled (default), only returns markdown to reduce response size
`additional_config`	text	—	Advanced configuration options as JSON string. Options include: 'disable_links' (remove hyperlinks), 'keep_pageheader_in_output' (preserve headers), 'keep_pagefooter_in_output' (preserve footers), 'filter_blank_pages' (skip empty pages), 'drop_repeated_text' (remove duplicates), and layout/table processing thresholds. Full list at: https://documentation.datalab.to/api-reference/marker
`strip_existing_ocr`	true or false	false	Remove embedded OCR text layer from the PDF and re-run OCR from scratch. Some PDFs have low-quality embedded OCR text; this option lets you regenerate it. Ignored if force_ocr is enabled
`segmentation_schema`	text	—	JSON Schema for document segmentation. Define segment names and descriptions to identify and extract different sections of the document (e.g., 'Executive Summary', 'Financial Data'). Useful for splitting long documents by section. See: https://documentation.datalab.to/api-reference/marker
`block_correction_prompt`	text	—	Optional text prompt to guide output improvements. Use this to specify formatting preferences or extraction requirements, e.g., 'Extract all dates in YYYY-MM-DD format' or 'Keep all tables in their original structure'
`disable_image_extraction`	true or false	false	Skip extracting images from the PDF. By default, images are extracted and returned as base64-encoded data in the images field

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "replicate",
    "model": "datalab-to/marker",
    "input": {
      "file": "<file>"
    }
  }'